← Authors

Yongfeng Zhang

45 papers · 2015–2026 · 13 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (13) πŸƒ Academic Marathon (10) 🐝 Cross-Pollinator (13) 🌈 Renaissance Researcher (8) πŸ—ΊοΈ Taxonomy Completionist (63) 🧬 Topic Evolution 🀝 Dynamic Duo (14) πŸ† Keyword Champion (5) πŸ† Grand Slam ⚑ Prolific Year (9) πŸš€ Conference Pioneer πŸ’Ž Century Club (44) πŸ—ƒοΈ Keyword Collector (167) πŸ”₯ Unstoppable (7) ❓ The Questioner

Conferences

ACL (9) EMNLP (7) ICLR (6) NAACL (4) AAAI (3) COLING (3) EACL (3) IJCNLP (3) AACL (2) IJCAI (2) ACML (1) ICML (1) NIPS (1)

Top co-authors

Wenyue Hua (14) Mingyu Jin (12) Kai Mei (7) Zuohui Fu (6) Mengnan Du (6) Gerard de Melo (5) Lingyao Li (5) Zhenting Wang (5) Lei Li (4) Wujiang Xu (4)

Keywords

large language model (16) explainable recommendation (5) recommender system (5) agent system (4) prompt engineering (3) pre-trained language model (3) language model (3) representation learning (3) foundation model (3) recommendation system (3) text generation (3) multimodal learning (3) shortcut learning (2) memory management (2) transfer learning (2) commonsense reasoning (2) information retrieval (2) user modeling (2) distribution shift (2) knowledge graph (2)

Papers

H-Mem: Hybrid Multi-Dimensional Memory Management for Long-Context Conversational Agents EACL 2026
Disentangling Memory and Reasoning Ability in Large Language Models ACL 2025
Task-Aligned Tool Recommendation for Large Language Models AACL 2025
When Backdoors Speak: Understanding LLM Backdoor Attacks Through Model-Generated Explanations ACL 2025
iAgent: LLM Agent as a Shield between User and Recommender Systems ACL 2025
Disentangling Logic: The Role of Context in Large Language Model Reasoning Capabilities ACL 2025
ADO: Automatic Data Optimization for Inputs in LLM Prompts ACL 2025
Exploring Concept Depth: How Large Language Models Acquire Knowledge and Concept at Different Layers? COLING 2025
SAE-SSV: Supervised Steering in Sparse Representation Spaces for Reliable Control of Language Models EMNLP 2025
Invisible Prompts, Visible Threats: Malicious Font Injection in External Resources for Large Language Models EMNLP 2025
SLMRec: Distilling Large Language Models into Small for Sequential Recommendation ICLR 2025
Agent Security Bench (ASB): Formalizing and Benchmarking Attacks and Defenses in LLM-based Agents ICLR 2025
From Commands to Prompts: LLM-based Semantic File System for AIOS ICLR 2025
Interactive Speculative Planning: Enhance Agent Efficiency through Co-design of System and User Interface ICLR 2025
Visual Agents as Fast and Slow Thinkers ICLR 2025
Massive Values in Self-Attention Modules are the Key to Contextual Knowledge Understanding ICML 2025
Task-Aligned Tool Recommendation for Large Language Models IJCNLP 2025
EmojiPrompt: Generative Prompt Obfuscation for Privacy-Preserving Communication with Cloud-based LLMs NAACL 2025
Cerebrum (AIOS SDK): A Platform for Agent Development, Deployment, Distribution, and Discovery NAACL 2025
The Impact of Reasoning Step Length on Large Language Models ACL 2024
Knowledge Graph Large Language Model (KG-LLM) for Link Prediction ACML 2024
BattleAgent: Multi-modal Dynamic Emulation on Historical Battles to Complement Historical Analysis EMNLP 2024
TrustAgent: Towards Safe and Trustworthy LLM-based Agents EMNLP 2024
Pre-trained Language Models for Entity Blocking: A Reproducibility Study NAACL 2024
UP5: Unbiased Foundation Model for Fairness-aware Recommendation EACL 2024
Large Language Models for Generative Recommendation: A Survey and Visionary Discussions COLING 2024
Language is All a Graph Needs EACL 2024
NPHardEval: Dynamic Benchmark on Reasoning Ability of Large Language Models via Complexity Classes ACL 2024
VIP5: Towards Multimodal Foundation Models for Recommendation EMNLP 2023
HiCLIP: Contrastive Language-Image Pretraining with Hierarchy-aware Attention ICLR 2023
OpenAGI: When LLM Meets Domain Experts NIPS 2023
Assessing Combinational Generalization of Language Models in Biased Scenarios AACL 2022
Improving Personalized Explanation Generation through Visualization ACL 2022
System 1 + System 2 = Better World: Neural-Symbolic Chain of Logic Reasoning EMNLP 2022
Data-Efficient Concept Extraction from Pre-trained Language Models for Commonsense Explanation Generation EMNLP 2022
Assessing Combinational Generalization of Language Models in Biased Scenarios IJCNLP 2022
Faithfully Explainable Recommendation via Neural Logic Reasoning NAACL 2021
Dynamic Graph Representation Learning for Video Dialog via Multi-Modal Shuffled Transformers AAAI 2021
Personalized Transformer for Explainable Recommendation ACL 2021
Personalized Transformer for Explainable Recommendation IJCNLP 2021
HID: Hierarchical Multiscale Representation Learning for Information Diffusion IJCAI 2020
A Representation Learning Approach to Animal Biodiversity Conservation COLING 2020
Efficient Heterogeneous Collaborative Filtering without Negative Sampling for Recommendation AAAI 2020
Dynamic Explainable Recommendation Based on Neural Attentive Models AAAI 2019
Catch the Black Sheep: Unified Framework for Shilling Attack Detection Based on Fraudulent Action Propagation IJCAI 2015